Name
Title | ||
|---|---|---|
Deep feature descriptor based hierarchical dense matching for X-ray angiographic images. |
Abstract | ||
|---|---|---|
•A novel dense correspondence matching algorithm is proposed to address the limitation of matching angiographic images caused by repetitive weak-textured regions.•A deep feature descriptor, trained on angiographic images, is proposed to compute more distinctive correlation maps for correspondence matching, compared to those obtained with conventional feature descriptors.•An affine-transformation based dense completion method is further designed to improve correspondence matching accuracy from the sparse correspondence detection results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cmpb.2019.04.006 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Coronary artery,Convolutional neural network,Hierarchical dense matching | Computer vision,Feature descriptor,Convolutional neural network,Image matching,Computer science,Image subtraction,Feature matching,Correlation,Artificial intelligence,Deep learning,Subtraction | Journal |
Volume | ISSN | Citations |
175 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingfan Fan | 1 | 53 | 14.09 |
| Jian Yang | 2 | 283 | 48.62 |
| Yachen Wang | 3 | 1 | 0.68 |
| Siyuan Yang | 4 | 3 | 1.04 |
| Danni Ai | 5 | 45 | 14.78 |
| yong huang | 6 | 7 | 5.23 |
| Hong Song | 7 | 8 | 8.34 |
| Yongtian Wang | 8 | 456 | 73.00 |
| Dinggang Shen | 9 | 7837 | 611.27 |